Sr. DevOps Engineer
Skills
About the Role
You will lead Unlimit's DevOps transformation by establishing best practices, defining standards, and building the platforms that enable teams to deliver with confidence. You'll architect company-wide CI/CD strategies, design golden pipelines, and implement GitOps-based deployments and progressive delivery methods that ensure every release is predictable and resilient. Working alongside Platform and Security teams, you'll embed governance, observability, and guardrails into everything that's built. You'll also pave the way for AI adoption in delivery — from predictive failure detection to automated root cause analysis and intelligent code quality checks — identifying and integrating the right AI-driven capabilities into the delivery lifecycle. This role is for someone who thrives on building from the ground up and setting the standard for how software is delivered across the organization.
Requirements
- 4+ years architecting and operating CI/CD systems at scale (e.g., Jenkins, GitLab, GitHub, ArgoCD)
- 3+ years of production experience with Docker: multi-stage builds, BuildKit, image optimization, registry management
- 3+ years of production experience with Kubernetes: Deployments, StatefulSets, Jobs, CronJobs, Custom Resources
- 3+ years of production experience with Helm: chart development, dependency management, testing
- Experience with service mesh integration (e.g., Istio)
- Expert-level GitOps implementation with Argo CD (ApplicationSets, sync waves, resource hooks)
- Expert-level GitOps implementation with Flux CD (Kustomize integration, multi-tenancy)
- Expert-level experience with Terraform (module development, state management, drift detection)
- Expert-level experience with Policy-as-Code (OPA, Kyverno)
- 3+ years designing cloud-native CI/CD architectures (AWS required; Azure/GCP a plus)
- Experience with custom metrics, instrumentation, log aggregation, and large-scale monitoring
Responsibilities
- Architect company-wide CI/CD strategies
- Design golden pipelines
- Implement GitOps-based deployments and progressive delivery methods
- Embed governance, observability, and guardrails alongside Platform and Security teams
- Identify and integrate AI-driven capabilities into the delivery lifecycle such as predictive failure detection, automated root cause analysis, and intelligent code quality checks
- Build platforms that enable teams to deliver with confidence
Benefits
- Vacation, sick, and paid holidays
- Flexible working hours
- Modern workplace with all necessary equipment